Computational Intelligence in Racing Games

Togelius, Julian; Lucas, Simon M.; Nardi, Renzo De

doi:10.1007/978-3-540-72705-7_3

Cited by 27 publications

(23 citation statements)

References 21 publications

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“…Although there are different problems in which computational intelligence techniques have been applied in the context of video games, nowadays PCG is one of the most active [4], [2]. PCG has been applied to the production of many different game elements, such as decorative components [5], maps [6], terrains [7], mazes [8], or players [9].…”

Section: Related Workmentioning

confidence: 99%

Designer-driven 3D buildings generated using Variable Neighborhood Search

Peña

Viedma

Muelas

et al. 2014

2014 IEEE Conference on Computational Intelligence and Games

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Abstract-This paper presents a mechanism to generate virtual buildings considering designer constraints and guidelines. This mechanism is implemented as a pipeline of different Variable Neighborhood Search (VNS) optimization processes in which several subproblems are tackled (1) rooms locations, (2) connectivity graph, and (3) element placement. The core VNS algorithm includes some variants to improve its performance, such as, for example constraint handling and biased operator selection. The optimization process uses a toolkit of construction primitives implemented as "smart objects" providing basic elements such as rooms, doors, staircases and other connectors. The paper also shows experimental results of the application of different designer constraints to a wide range of buildings from small houses to a large castle with several underground levels.

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Section: Related Workmentioning

confidence: 99%

Designer-driven 3D buildings generated using Variable Neighborhood Search

Peña

Viedma

Muelas

et al. 2014

2014 IEEE Conference on Computational Intelligence and Games

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“…To the best of our knowledge, Togelius et al [6] published the most relevant work about the evolution of tracks for racing games (see also the first early [5] and the later survey [7]). In [6], the authors combined procedural content generation principles and an evolutionary algorithm to evolve racing tracks that would fit a target player profile.…”

Section: A Previous Approachesmentioning

confidence: 99%

“…Our approach is inspired by the seminal works that Togelius et al [5], [6], [7] did on the evolution of racing tracks for a simple 2D arcade racing game which, to the best of our knowledge, is also the only published work on the evolution of racing tracks. In particular, our track encoding is an extension of the radial representation proposed in [6].…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

“…Our approach is inspired by the seminal work of Togelius et al [5], [6], [7], who applied evolutionary computation to evolve tracks for a simple two-dimensional car racing game. However, while Togelius et al [5], [6], [7] address the evolution of personalized content for a target player, in this work, we focus on the evolution of tracks that can provide a large degree of diversity, in a rather broad sense, while also being adequately challenging.…”

Section: Introductionmentioning

confidence: 99%

“…However, while Togelius et al [5], [6], [7] address the evolution of personalized content for a target player, in this work, we focus on the evolution of tracks that can provide a large degree of diversity, in a rather broad sense, while also being adequately challenging. For this purpose, we extend the radial representation of Togelius et al [6] and adapt it to a high-end simulator like TORCS.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic Track Generation for High-End Racing Games Using Evolutionary Computation

Loiacono

Cardamone

Lanzi

2011

IEEE Trans. Comput. Intell. AI Games

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Abstract-We investigate the application of evolutionary computation to the automatic generation of tracks for high-end racing games. The idea underlying our approach is that diversity is a major source of challenge/interest for racing tracks and, eventually, might play a key role in contributing to the player's fun. In particular, we focus on the diversity of a track in terms of its shape (i.e., the number and the assortments of turns and straights it contains), and in terms of driving experience it provides (i.e., the range of speeds achievable while driving on the track). We define two fitness functions that capture our idea of diversity as the entropy of the track's curvature and speed profiles. We apply both a single-objective and a multi-objective real-coded genetic algorithm to evolve tracks involving both a wide variety of turns and straights and also a large range of driving speeds. The results we report show that both singleobjective and multi-objective approaches can successfully evolve tracks with a high degree of diversity both in terms of shape and achievable speeds.

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Determining personality traits of racing game players using the open racing car simulator: toward believable virtual drivers

Possani-Espinosa

Gutiérrez-García

Gordillo

2016

Computer Animation & Virtual

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Believable artificial opponents, for example, believable virtual drivers, are fundamental to engage players and make (car racing) video games more entertaining. This paper lays the foundations for the design of believable virtual drivers by proposing a methodology for profiling players using the open racing car simulator. Data collected from 125 players about their driving behaviors and personality traits give insights into how personality traits should model the behavior of believable virtual drivers. The data analysis was conducted using a correlation analysis and the J48 decision tree algorithm. Empirical evidence shows that goal-oriented driving behaviors can be used to determine personality traits of players. In addition, this work also (i) gives preliminary insights into the relationship between the driving behavior and personality of racing game players and actual car drivers; and (ii) presents evidence of the relevance of gender as a predictor of personality traits of racing game players.

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Computational Intelligence in Racing Games

Cited by 27 publications

References 21 publications

Designer-driven 3D buildings generated using Variable Neighborhood Search

Designer-driven 3D buildings generated using Variable Neighborhood Search

Automatic Track Generation for High-End Racing Games Using Evolutionary Computation

Determining personality traits of racing game players using the open racing car simulator: toward believable virtual drivers

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